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Reliability of the ultrasound classification system of thyroid nodules in predicting malignancy
The Medical Journal of Malaysia ; : 9-15, 2018.
Article in English | WPRIM | ID: wpr-732141
ABSTRACT

Aim:

This study aims to evaluate the reliability of theUltrasound (U) Classification system in predicting thyroidmalignancy by using pathology diagnosis as the referencestandard.

Methods:

It was a cross-sectional study carried out atUniversiti Kebangsaan Malaysia Medical Centre (UKMMC),Malaysia. Records of patients with focal thyroid nodules onultrasound (US) for which US-guided fine needle aspirationcytology (FNAC) was performed and pathology results wereavailable, from January 2014 to May 2016 were selected forreview. Correlation of the U Classification with pathologyresults was assessed. Sensitivity, specificity, positivelikelihood ratio, negative likelihood ratio, predictive value,negative predictive value and accuracy were calculated in aconservative and non-conservative method. The thresholdfor statistical performance was set at 0.05. Eachsonographic feature was also compared with its pathologyresults.

Results:

A total of 91 patients with 104 nodules were eligible.12 nodules out of 104 (11.5%) were malignant. Thesensitivity, specificity, positive likelihood ratio, negativelikelihood ratio, positive predictive value, negativepredictive value and accuracy were 100%, 91.3%, 11.5, 0.0,60%, 100% and 92.3%, and 100%, 91.4%, 11.7%, 0.0, 78.6%,100% and 93.5%, for the non-conservative and conservativemethod of calculations respectively.

Conclusion:

The U Classification is reliable in predictingthyroid malignancy. More evidence is neverthelessnecessary for widespread adaptation and use.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Observational study / Prognostic study Language: English Journal: The Medical Journal of Malaysia Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Observational study / Prognostic study Language: English Journal: The Medical Journal of Malaysia Year: 2018 Type: Article